In a study of the accuracy of fast food drive-through orders, Restaurant A had 309 accurate orders and 52 that were not accurate. a. Construct a 90% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part (a) to this 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.131
In a study of the accuracy of fast food drive-through orders, Restaurant A had 309 accurate orders and 52 that were not accurate. a. Construct a 90% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part (a) to this 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.131
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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![In a study of the accuracy of fast food drive-through orders, Restaurant A had 309 accurate orders and 52 that were not accurate.
a. Construct a 90% confidence interval estimate of the percentage of orders that are not accurate.
b. Compare the results from part (a) to this 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.131 <p <0.188. What do you conclude?
a. Construct a 90% confidence interval. Express the percentages in decimal form.
O<p< (Round to three decimal places as needed.)
b. Choose the correct answer below.
O A. Since the two confidence intervals overlap, neither restaurant appears to have a significantly different percentage of orders that are not accurate.
O B. The lower confidence limit of the interval for Restaurant B is higher than the lower confidence limit of the interval for Restaurant
limit of the interval for Restaurant A. Therefore, Restaurant B has a significantly higher percentage of orders that are not accurate.
and the upper confidence limit of the interval for Restaurant B is also higher than the upper confidence
OC. No conclusion can be made because not enough information is given about the confidence interval for Restaurant B.
O D. Since the upper confidence limit of the interval for Restaurant B is higher than both the lower and upper confidence limits of the interval for Restaurant A, this indicates that Restaurant B has a significantly higher percentage of orders that
are not accurate.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F502386d6-1f69-4277-8532-9ac6fb73b1c7%2F0a5d2dcd-f117-4548-93ce-3ab2f89cbb4f%2F9lw2nz_processed.jpeg&w=3840&q=75)
Transcribed Image Text:In a study of the accuracy of fast food drive-through orders, Restaurant A had 309 accurate orders and 52 that were not accurate.
a. Construct a 90% confidence interval estimate of the percentage of orders that are not accurate.
b. Compare the results from part (a) to this 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.131 <p <0.188. What do you conclude?
a. Construct a 90% confidence interval. Express the percentages in decimal form.
O<p< (Round to three decimal places as needed.)
b. Choose the correct answer below.
O A. Since the two confidence intervals overlap, neither restaurant appears to have a significantly different percentage of orders that are not accurate.
O B. The lower confidence limit of the interval for Restaurant B is higher than the lower confidence limit of the interval for Restaurant
limit of the interval for Restaurant A. Therefore, Restaurant B has a significantly higher percentage of orders that are not accurate.
and the upper confidence limit of the interval for Restaurant B is also higher than the upper confidence
OC. No conclusion can be made because not enough information is given about the confidence interval for Restaurant B.
O D. Since the upper confidence limit of the interval for Restaurant B is higher than both the lower and upper confidence limits of the interval for Restaurant A, this indicates that Restaurant B has a significantly higher percentage of orders that
are not accurate.
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